We discuss Table REF  to explore further if recent research in pre-training tasks [1]} is valid in event-based vision. Despite the correlations evidences in RGB settings, we find that auto-encoders backbones are performing worse than the classification counterpart; this conclusion is valid from both representations. Indeed, action-recognition pre-training emerges favorably, especially for spatio-temporal voxel-grid. Our interpretation is that pre-training assumptions fail because of the spatial sparsity of event-representations. Further research is mandatory to unlock better pre-training strategies for event-based vision.
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